Multiband common-optical-path image-spectrum associated remote sensing measurement system and method

Abstract

The present invention relates to a multiband common-optical-path image-spectrum associated remote sensing measurement system and method. The system includes an infrared window (1), a two-dimensional rotating mirror (2), a planar reflector (3), a reflective multiband infrared lens (4), a Fourier interference spectrum module (5), an image-spectrum associated processing module (6), a power supply module (7), a refrigerating module (8), and a display module (9); the incident light enters from the infrared window (1), is reflected by the two-dimensional rotating mirror (2), and then is reflected by the planar reflector (3) to the reflective multiband infrared lens (4) and then is split by a spectroscope (42); the transmitted light is focused by means of a convergent lens and is imaged on an infrared detector (43); the reflected light is focused on an infrared optical fiber coupler (44) and enters the Fourier interference spectrum module (5) through an infrared optical fiber to form an interference pattern, and further, spectrum data is obtained through Fourier transformation; the image-spectrum associated processing module (6) effectively combines broadband spectrum imaging and non-imaging spectrum data, and controls the two-dimensional rotating mirror (2) to point to a target, thereby implementing intelligent remote sensing measurement. The present invention has capabilities of performing local scene region spectrum measurement and multi-target tracking spectrum measurement, has high speed, an appropriate data amount, and low cost.

Description

TECHNICAL FIELD[0001]The present invention belongs to the field of remote sensing measurement technology, and in particular, to a multiband common-optical-path image-spectrum associated remote sensing measurement system and method.BACKGROUND ART[0002]In accordance with the structure and property of an electromagnetic spectrum, the infrared information of a target refers to the difference between the target and the background in terms of radiation, reflection, and scattering characteristics acquired by an infrared spectral band sensor, which includes radiation, reflection, and scattering characteristics of each fine spectrum (line) band of short-wave, medium-wave, and long-wave infrared. Compared with the target / background information of a single spectral band, the information of multiple fine spectral bands can represent more comprehensively and accurately the characteristics inherent in the target and the background. A conventional detection method generally uses a single spectral ...

AI Technical Summary

Benefits of technology

The present invention provides a system and method for remote sensing measurement that can detect and identify weak or moving targets. The system uses a spherical infrared window to increase field of view and reduce blind angle, a two-dimensional rotating mirror to switch between fields of view and quickly track targets, and a reflective infrared mirror to measure both imaging and spectrum. The image-spectrum associated processing uses an optimum automatic control strategy to realize time-space-spectrum multi-dimensional sparse sampling on the target scene and reduce data amount. These technical improvements allow for better accuracy and efficiency in identifying and measuring targets.

Problems solved by technology

At this time, this target is often drowned in a complex background clutter or interfered, the signal is very weak, and the signal to noise ratio and the signal to clutter ratio are very low.

However, this type of device extracts image cube data of a target scene, which has a very large information processing amount and a low spatial resolution, is suitable for measuring a stationary target but uneasy to cope with a moving target, and has a high price which can be hardly accepted by users.

With respect to the above automatic detection and spectrum identification on multiple moving targets and time-varying objects, the spectrum imaging device commonly used recently has the following disadvantages: (1) being not applicable to the spectrum measurement in a local region in a scene; (2) failing to realize the automatic tracking spectrum measurement on multiple moving targets; (3) being unable to perform online processing and identification on the target spectrum; and (4) having a large data processing amount, a low speed, and a high price.

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